Sacred Heart University
Artificial Intelligence Graduate Certificate
Last reviewed June 2026 by the AI Graduate editorial team. Program data is compiled and verified from official university sources β see our methodology.
How this program compares
At an estimated $11.8K in total tuition, the Artificial Intelligence Graduate Certificate sits about 4% above the $11.4K average for AI certificate programs in our database β placing it in the 66th percentile on cost among the 236 we track at this level. It is one of the 57% of programs in our database offered fully or partly online.
Admission Snapshot
Typical admitted student: Applicants typically need a bachelor's degree in a related field (computer science, mathematics, engineering, or data science) and demonstrated programming experience. Some programs accept candidates from diverse backgrounds with strong quantitative skills and may require a statement of purpose outlining AI career goals.
About This Program
This 12-credit graduate program equips business leaders with the skills to navigate a technology-driven landscape, focusing on AI's industrial and societal implications. Coursework concentrates on Artificial Intelligence & Machine Learning and AI Engineering / Applied AI. Most students complete it in about 0.67 years.
Estimated total tuition is $11.8K, above the $11.4K average for AI certificate programs in our database and in the 66th percentile on cost at this level. Applicants should weigh that premium against the program's outcomes and brand.
Gain machine learning skills to advance as Product Analyst in Business AI Graduates frequently move into roles such as Product Analyst, with reported salaries around $118,000.
Career Outcomes
Gain machine learning skills to advance as Product Analyst in Business AI
- 1. Machine Learning Engineer
- 2. AI Solutions Architect
- 3. Data Scientist
- 4. AI Research Scientist
What You'll Learn
- Design and implement machine learning models using supervised, unsupervised, and reinforcement learning techniques
- Develop neural networks and deep learning applications for real-world problems
- Evaluate AI systems for bias, fairness, and ethical implications in deployment
- Apply AI technologies to domain-specific challenges in business, healthcare, or technology sectors
Curriculum Highlights
The structure includes courses in AI introduction, impact on innovation, business applications, and a capstone project solving real-world business challenges.
Top Employers
Top employers in artificial intelligence include Google, Microsoft, OpenAI, Amazon Web Services, Meta, IBM, and major financial institutions and healthcare organizations implementing AI-driven solutions.
Admissions
Applicants typically need a bachelor's degree in a related field (computer science, mathematics, engineering, or data science) and demonstrated programming experience. Some programs accept candidates from diverse backgrounds with strong quantitative skills and may require a statement of purpose outlining AI career goals.
Application Materials
- Statement of Purpose: Required
- Letters of Recommendation: 2
- Resume: Required
- Transcripts: Official transcripts required
Academic Requirements
- Degree Required: Bachelor's degree
- GRE/GMAT: Optional (not typically required for certificates)
- TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)
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